If you look back into history, there is a singular discovery at certain intervals that have affected human evolution and acted as a catalyst for growth.
In ancient times, it was the fire. And in the 19th century, it was the computer. Since being invented in the 19th century, the computer has earned its place of being the most widely-used technological tool of the 21st century.
From the education sector to the medical field, the technology of the computer has brought incredible innovation and benefited countless. Just as with fire, the computer changed our world forever.
The computer’s functionality has dramatically changed over time – from doing simple mathematical calculations to handling complex operations. Not only this, its form has undergone drastic changes as well. From oversized circuit modules to sleek desktops, computers of today are a perfect example of modern advancements.
Our recent times have again forced the computer to change its form and adapt to a new working norm. It has gone from the needed physical availability to getting accessible remotely via an internet connection.
Desktop-as-a-Service (DaaS) is the Future of Remote Work
Yes, you heard it right – we are talking about VDI (Virtual Desktop Infrastructure). VDI is a technology that enables the creation of virtual desktops on the cloud platform.
VDI can be deployed on the office premises. However, it leads to additional IT hassles and costs to the business. Hence, a better solution is to opt for Desktop-as-a-Service (DaaS).
Introduced back in 2015, DaaS, or “Desktop as a Service” is a virtual desktop service, wherein the service providers deliver applications and virtual desktops remotely over an internet connection. It is the perfect solution for setting up your remote workplace, something which has been steadily becoming popular since the recent coronavirus outbreak.
Let’s have a look at why DaaS is the future of remote work:
Nowadays, most companies still rely on traditional computer systems, which may fulfill the basic organizational duties, but fail when needed remotely. They are simply a ‘plug and work’ model, which requires their physical presence for being used. And even if you provide portable devices such as laptops, they carry a high risk of getting lost or stolen.
How to deal with the problem of enhanced remote work?
To empower your workplace with remote working capabilities, it is essential to enhance your organization’s technical reachability, and yet retain the custom functionality. And this is something that can be easily done by using DaaS.
Desktop as a Solution (DaaS) is a solution that enables your employees to access the virtual desktops remotely via an internet connection.
From using your favorite applications to accessing the files stored in the cloud, you can do everything you wish to.
It is just like accessing your office systems, and the only difference is that you do it over an internet connection. All you need is authorized access and good internet connectivity.
Instead of carrying all those bulky laptops or waiting to get one from your office, your employees can take out their iPad and start working from anywhere, anytime. Simply superb.
Fewer IT Hassles
An organization has to spend a lot of time overcoming technical hurdles while working remotely. Employees find it difficult to contact the IT team to get their problems solved. This also means that minor issues will also take much more time to get fixed.
Add software updates and timely license renewal, and you can see an enterprise getting buried under an enormous IT workload.
All these excess technical duties can slow down your organizational efficiency and impede your remote working plans.
However, when you go for DaaS, you can easily forego these numerous hassles and smoothly transit into your new working regime. In the case of DaaS, it is the service provider who is responsible for handling all the technical workload.
Replacing faulty hardware to software bugs, everything falls under the sphere of DaaS services.
They also conduct regular service audits and ensure your employees are using the latest software package. And even if you experience any occasional lag, they are always available round the clock to fix it and get you going back on track.
Superior Data Security
Since the COVID-19 pandemic started, most US firms have been steadily modifying their working environment for the new ‘work from home’ protocol. They formulated new corporate data policies and incorporated the latest technological innovations to adjust to the new normal.
But with only 5% of company folders being adequately protected and 4000 cyber-attacks occurring per day, data security is still a constant point of worry for significant firms. And since remote working means most employees work over the internet, negligence and inadequate data security measures can easily make a company resources a sitting duck for hackers.
DaaS’s superior security measures come into play.
When you are using hosted virtual desktop service from a DaaS provider, they make sure you have a safe working experience.
Since their service is entirely cloud-based, they employ various premium security measures for its protection. Their desktop interfaces are laced with the latest anti-hacking tools and regularly updated to protect your critical data against any illicit access.
For protecting their data servers, they have modern IDPS systems and have qualified experts for timely antivirus scans.
In recent times, the usage of remote services and working from home has increasingly gained public favor. This has greatly enhanced the business growth of those firms that have successfully provided the required services.
However, increased business growth means more resource requirements, impeding a firm’s development if it has limited scalability. It can also cause a firm to lose their credibility if they cannot keep up with growing consumer demands and fail to deliver within the promised deadlines.
When you are using DaaS, you can stop worrying about the increasing resource demand and work in a pressure-free environment.
Employing a DaaS provider enables you to get scalability on call.
Instead of waiting and planning, you can simply get in touch with your DaaS provider and ramp up your resources. They provide ready-to-use desktop solutions with the required software package.
You don’t have to forage around for the required specifications and then spend time installing the latest software. All you have to do is intimate your DaaS provider about your needs, and they will deploy your virtual desktop.
Another hurdle every firm endeavoring to work remotely is the cost-effectiveness of their operations. Working remotely means providing the required applications and laptops for your employees.
Since most of the companies have traditional desktops, procuring the necessary amount of portable devices like laptops means spending a huge portion of their capital, which every firm will avoid. Using DaaS enables you to keep things cost-effective and yet to grow your company’s profits.
As DaaS deploys desktops over the cloud, your employees can use their personal laptops, i-pads, and phones to access the official data and work remotely.
Using all types of devices will encourage the employees to use their own devices, saving companies the cost of providing company-owned laptops. Also, they do not need to worry about data security as your DaaS provider will take care of everything.
DaaS offers a pay-per-use model, allowing you to quickly scale down or up whenever you need it without wasting your financial resources. You don’t have to set up your IT infrastructure and employ a team of IT professionals for its maintenance.
A DaaS provider has its team of IT experts who are well trained and experienced. They are responsible for every technical glitch (like a sudden disk failure) and fix it without any additional costs.
As they cater to different client requirements from multiple industries, their systems comply with all the latest security regulations, eliminating your need to invest for one.
Increased Business Outreach
Do you know what the greatest advantage of working remotely is? No geographical limitations. Working remotely has enabled various firms to widen their business outreach greatly.
With DaaS, employers can easily provide their services to a larger client base and also recruit employees remotely. They can hire employees from a geographical location to assist the clients in that area.
Hiring from the needed geographical location saves them the hassle of working in different shifts (according to their clients’ time zone) or setting up a new office in that geography. And since working remotely means no office space requirements, it has made their operations cost-effective as well.
Investing in DaaS saves your firm from all these hassles and improves your business outreach. Instead of physically providing a desktop to your employees, you can first specify your organizational needs to your DaaS provider for procuring the necessary software specifications.
All you have to do is provide valid authorization credentials to your employees, and they can easily access their office desktops over the Internet. Everything is managed on the cloud by your services provider.
You can avoid shipping the necessary desktop or setting up an agency for facilitating the local business – allowing you to manage everything remotely and efficiently.
With 77% increase in productivity, enhanced productivity has been another reason many firms embrace remote work setup.
And since COVID-19, coupled with the ensuing lockdown restrictions forced multiple firms to either temporarily halt their operations. Many had to go remote to keep themselves running. It’s expected that the future will see more and more people getting remotely employed.
Various factors, such as unhealthy eating habits, improper work-life balance, and a flawed exercising regime, can drastically affect your employees’ performance. Unsound health habits decrease an overall work output.
They may also have to face technical problems like an unprecedented disk failure or a sudden breakdown of their office systems may occur that could impact their productivity while working from home.
Employing DaaS enables you to secure guaranteed data availability for your employees so that they are not obstructed while working.
Most of the DaaS providers ensure the SLA-backed uptime guarantee of their services. They ensure that your system is always online and working in prime condition.
If you have to go offline you want to have available help 24/7/365 for assistance.
24-hour help allows your employees to focus on their work and enhance their productivity. They don’t have to venture out to fix a broken hard drive or wait for the latest update. Everything is automatically managed by your service provider, with minimal obstruction in your employee’s working life.
Although running a business remotely has allowed firms to offset various operational costs like procurement of office stationery, maintenance of the workplace, and other office-related costs, working remotely has its share of costs. You have to ensure device availability for your employees, provide necessary software licenses, and provide remote IT support.
When you have a new set of employees joining your organization, the cycle repeats all over again. Your organization still has to face a considerable tech-load even if you maintain an in-house server, as you need to hire experienced professionals, and they need to work round the clock for its functioning.
Opting for DaaS frees your organization from the constraints of excess tech-load and smoothens your remote mobility.
You don’t need to maintain an in-house server as all the requirements can be fulfilled if you employ a DaaS provider.
With the rising popularity of the BYOD or ‘Bring Your Own Device’ policy, your employees will feel more comfortable using their device to access your virtual desktop.
Since your desktop is deployed on the cloud and everything is managed via the internet, you do not need to provide your device or wait for its retrieval when an employee leaves your organization.
There is only one word that can accurately define DaaS, and that is – amazing.
When DaaS was first rolled out in 2015, no one knew it would dramatically impact multiple industries around the world. Now, just over five years later — it is one of the widely sought digital solutions for firms looking to work remotely.
Round-the-clock accessibility, premium data security, flexible scalability, economical pricing, and robust tech support — these are various features that a firm enjoys when they opt for reliable DaaS services.
It is the complete remote solution package with limitless potential for the firms looking to establish their remote work empire. So, whenever you need a perfect desktop solution for acing this ‘remote’ game, make sure you remember the DaaS.
Top Image Credit: shutterstock
How Preql is Transforming Data Transformation
More than one million small businesses use ecommerce platform Shopify to reach a global audience of consumers. That includes direct-to-consumer (DTC) all-stars like Allbirds, Rothy’s and Beefcake Swimwear.
But online sellers like these are also ingesting data from platforms like Google Analytics, Klaviyo, Attentive and Facebook Ads, which quickly complicates weekly reporting.
That’s where data transformation comes in.
dbt and Preql
As the name implies, data transformation tools help convert data from its raw format to clean, usable data that enables analytics and reporting. Centralizing and storing data is easier than it’s ever been, but creating reporting-ready datasets requires aligning on business definitions, designing output tables, and encoding logic into a series of interdependent SQL scripts, or “transformations.” Businesses are making significant investments in data infrastructure tooling, such as ingestion tools, data storage, and visualization/BI without having the internal expertise to transform their data effectively. But they quickly learn if you can’t effectively structure your data for reporting, they won’t get value from the data they’re storing—or the investment they’ve made.
The space includes two major players: dbt and startups.
Founded in 2016, dbt “built the primary tool in the analytics engineering toolbox,” as the company says, and it is now used by more than 9,000 companies—and it is backed by more than $414 million.
But dbt is a tool for developers at companies with established analytics engineering teams.
Preql, on the other hand, is a startup building no-code data transformation tool that targets business users who might not have expertise in programming languages but who nevertheless need trusted, accessible data.
Preql’s goal is to automate the hardest, most time-intensive steps in the data transformation process so businesses can be up and running within days as opposed to the six- to 12-month window for other tools.
“We built Preql because the transformation layer is the most critical part of the data stack, but the resources and talent required to manage it make reliable reporting and analytics inaccessible for companies without large data functions,” said Gabi Steele, co-founder and co-CEO of Preql.
The startup is therefore positioning itself as an alternative to hiring full analytics engineering teams solely to model and manage business definitions—especially among early-stage companies that are first building out their data capabilities.
In other words, Preql is the buffer between the engineering team and the people who actually need to use the data.
“Data teams tend to be highly reactive. The business is constantly asking for data to guide decision making, but in the current transformation ecosystem, even small changes to data models require time and expertise. If business users can truly manage their own metrics, data talent will be able to step out of the constant back and forth of fulfilling reporting requests and focus on more sophisticated analyses,” said Leah Weiss, co-founder and co-CEO of Preql.
But that’s not to say dbt and Preql are bitter rivals. In fact, they are part of the same data transformation community—and there’s a forthcoming integration.
“One way to think about it is we want to help the organizations get up and running really quickly and get the time to value from the data they’re already collecting and storing without having to have the specialized talent that’s really well versed in dbt,” Steele added. “But as these companies become more sophisticated, we will be outputting dbt, so they can leverage it if that’s the tool that they’re most comfortable with.”
A Closer Look at Preql
The startup raised a $7 million seed round in May, led by Bessemer Venture Partners, with participation from Felicis.
Preql collects business context and metric definitions and then abstracts away the data transformation process. It helps organizations get up and running with a central source of truth for reporting without having a data team or writing SQL.
Preql reads in data from the warehouse and writes back clean, reporting-ready schemas. It partners with data ingestion tools that move data from source applications into the warehouse such as Airbyte and Fivetran and cloud data warehouses like Snowflake, Redshift and BigQuery. For businesses who consume data in BI tools, it also partners with Looker, Tableau and Sigma Computing.
Preql is initially focused on the DTC market in part because the metrics, such as cost of customer acquisition (CAC), conversion rate and life-time value (LTV), are standardized. They also tend to have lean operations.
“We’ve found that these companies are working really hard to download data from disparate sources—third-party platforms that they use, Shopify, their paid marketing platforms—in order to get a sense of even basic business health and performance,” Weiss said.
They also tend to use manual reporting processes, which means “it’s often an operations person who’s downloading data from a bunch of sources, consolidating that in spreadsheets, making a bunch of manual interventions and then outputting weekly reporting or quarterly reporting,” she added.
But much of what these companies want to measure about performance is consistent and a lot of the data sources are structured the same way.
“With Preql, we were able to make some assumptions about what we wanted to measure with the flexibility to customize a few of those definitions that are specific to our business,” added Cynthia Plotch, co-founder at Stix, a women’s health essentials ecommerce site. “Preql gave us clean, usable data for reporting. We were up and running with weekly reporting within days, saving us months of effort if we had to invest in data engineering teams.”
Data Transformation in 2027
Steele and Weiss believe the next five years will be about “delivering on the promise of the modern data stack.”
In other words, answering questions like: Now that we have scalable storage and ingestion, how can we make sure we can actually leverage data for decision making? And how can we build trust in reporting so we can build workflows around it and act on it?
This is because a lot of companies struggle to move on to predictive analytics and machine learning because they never solved the fundamental issue of creating trusted, accessible data.
What’s more, Preql believes the next phase of tools will go beyond building infrastructure to deliver more value as data talent sits closer and closer to the business.
“Data analytics will only get more complicated because the number of data sources is growing, along with their complexity, and the need is becoming more acute for real time results. And the more data you have, the more granular the questions become and even more is expected of it,” Amit Karp, partner at Bessemer Venture Partners added. “I think we’re in the very early innings of what’s going to be a very long wave—five, ten or even 20 years down the road. It’s a giant market.”
Can Traditional Companies Act Like Start-Ups?
Much has been made about the culture clash between older, slower, more traditional companies and younger, more dynamic, faster-moving tech start-ups. Each has advantages and disadvantages, but, generally speaking, it is very hard to reconcile the two approaches, as they are naturally in opposition to each other.
The general motto among start-ups of “move fast and break things” has led to very quick yet massive successes, with some companies, Google and Amazon being the most obvious examples, growing larger than traditional competitors who have been around for decades and decades. But it has also led to a lot of unconsidered damage to traditional industries like transportation and publishing, their ‘disruption’ doing as much harm as good. And, more often than not, start-ups can see millions or even billions in investment being wasted on bad ideas and unproven tech (Theranos, anyone?). “Fake it till you make it” means that, eventually, you actually do need to make it.
Meanwhile, traditional companies, while providing more useful and regular forms of employment, great institutional knowledge, and decades of business experience, have their own problems. Because they often resemble large, inefficient bureaucracies, they are slow to move and respond to change. Old companies can be blind to, and even fearful of, innovation and new technology. This can leave them dead in the water when the future finally arrives. Kodak, for example, went from venerated, dominant business to almost nothing in just a few years because it refused to accept the revolution of digital photography.
But is there a way to integrate the two approaches? To take the best from both cultures and business plans and use those aspects to move into the future? To get big, old businesses to work, at least in some ways, like small, agile, young start-ups? Yes, but it isn’t easy.
Innovation Without Disruption
As stated, one of the greatest fears of traditional companies is having their business, or their entire sector, undercut by a growing start-up. While independent start-ups are expected to disrupt, be change agents, or however you want to put it, more traditional companies are prone to be much more risk averse. Naturally, one of the smartest things that an old company can do to avoid being left behind is to lead the disruption themselves.
Many traditional businesses are currently investing in, and should continue to invest in, the digital transformation of their business model, from top to bottom. This, however, is a slow process, especially in sizable companies. The use of machine learning, predictive analysis, AI, and other cutting edge digital tools allows old business models to become more efficient, and respond to changes in supply and demand, and market tumult, in better and smarter ways. But it isn’t as easy as flipping a switch.
A New Business to Try New Things
Quite a few traditional businesses are spinning out new sectors, tech labs, and other separate silos to do the work of digital innovation for them. This isn’t uncommon. Businesses have, basically forever, had subsidiaries. The problem is that old businesses have trouble actually committing to the idea.
Often, the business that is spun-out is, essentially, a temporary one. The leaders of the core business get cold feet, limit the new project’s mandate, and pull it back in as soon as possible. Such hesitance is limiting in today’s digital world, where the next revolutionary innovation is always just around the corner.
Furthermore, spin-outs with good ideas and potential for growth are frequently allowed to die on the vine, just as often they go to seed. Or, to make things clearer, the core business doesn’t invest in the digital spin-out’s success. The great advance of digital companies is their ability to scale with almost lightning speed. But core business have to be ready with resources and support for the scale-up to even happen, let alone work. Otherwise, a grand opportunity will go to waste.
If a business spin-out does well enough, it should be allowed to grow and change as it needs to, provided that it remains successful and worthwhile. Whether the goal is for the new business to simply make money in an area the core business isn’t directly addressing, or developing digital innovations for the core business to take up, if it works it works. Don’t get in the way of success just because it is new, or comes in an unfamiliar form. At the same time, core businesses must be careful of how they measure success for these new experiments. Measuring the new company or spin-out with the same metrics as the core business can sometimes choke the momentum and not give an accurate picture. Afterall, newer, smaller businesses, or initiatives shouldn’t be expected to be profitable immediately.
Cultural Change, From the Executive Level On Down
All the innovation in the world won’t mean anything if the people running the business itself refuse to change. Older companies, and older executives, can become set in their ways, dismissive of new technologies and ways of doing business, and ignore the automation and efficiencies of advanced digital tools. We saw this at the beginning of the widespread use of the internet twenty years ago, and we’re seeing it now.
More important than this, is the need for people in positions of real power in companies to implement the changes needed for innovation and advancement, and do so thoroughly and effectively. There must be a willingness to let the start-up culture infiltrate and influence the way business is done at every level, or it won’t be effective enough to help.
It is painfully common for large, traditional companies to put money into research and development of new ideas and new technologies, only for executives and other decision makers to ignore what’s in front of them, either because of cost, or risk, or something as simple as a fear of the future.
But the future of business is changing in a digital world. Things move and change with an almost frightening speed. The Covid-19 pandemic is absolute proof of that; it wasn’t just companies with digital tools at the ready that were able to survive. While they had an advantage, it was the companies that were able to acknowledge the rapidly changing situation, and react to it quickly and efficiently, that kept things going and in some cases, even improved their bottom lines.
But It’s More Than Just a Cultural Change
One of the biggest advantages of tech start up culture is that it is forward-facing. It is an attitude towards business and technology that is not just looking towards the future (every business does that), but is actively trying to grapple with it, and even to shape it, if possible. Traditional, legacy businesses need to admit that the world is not static, and they have a responsibility in influencing how their industry develops.
Part of that responsibility is letting innovators be innovators. If a large company spins out a business unit to study and improve its digital technology, that company can’t then balk when those innovators recommend widespread change, or create a new idea that could shake the company, or its whole industry, to its core.
To put it as simply as possible, for an older, more traditional company to reap the benefits of adopting a start-up model, it has to actually adopt it. It can’t just make superficial changes, it needs to truly invest. But that kind of investment carries risk, which can make more traditional companies nervous. The work of transformation must actually be done.
That means supporting digital innovations and changes when they make things more efficient. It means letting spin-out businesses actually try new things, and grow to scale when they hit upon something new and successful. It means executives getting out of the way so the forces of change can actually, you know, change things. Otherwise, the ‘traditional’ company will just be the ‘old’ company, sitting around waiting for some new tech upstart to disrupt it into obsolescence.
Understanding Edge Computing and Why it Matters to Businesses Today
The edge computing market is expected to reach $274 billion by 2025, focusing on segments like the internet of things, public cloud services, and patents and standards.
Most of this contribution is backed by enterprises shifting their data centers to the cloud. This has enabled enterprises to move beyond cloud systems to edge computing systems and extract the maximum potential from their computing resources.
This blog will provide a closer understanding of edge computing and how it helps businesses in the technology sector.
Understanding edge computing
From a technical standpoint, edge computing is a distributed computing framework that bridges the gap between enterprise applications and data sources, including IoT devices or local edge servers.
For an easier understanding, edge computing helps businesses recreate experiences for people and profitability through improved response time and bandwidth availability.
Why does edge computing matter for businesses?
When we talk about the most significant industry zones worldwide, for instance, the GCC region, which is heavily focused on the focus areas like cloud services, the transition from cloud technology to edge computing is now more prominent than ever for enterprises to leverage the potential of the technology.
And with only 3% of businesses at an advanced stage in digital transformation initiatives, the potential of edge computing is up for grabs.
It doesn’t matter if you’re running a mobile app development company, a grocery store next door, or a next-gen enterprise. You need to understand how cloud edge helps businesses and invest in this open-source technology.
Edge computing is primarily sought in industries where value-added assets have a massive impact on the business in case of losses.
The technology has enabled reports delivery systems to send and receive documentation in seconds, usually taking days to weeks.
Consider the example of the oil and gas industry, where some enterprises utilize edge computing. The predictive maintenance allowed them to proactively manage their pipeline and locate the underlying issues to prevent any accumulated problems.
Support for remote operations
The pandemic has forced businesses to opt for remote operations, or a hybrid work model at the least, with the workforce, spread across different geographical boundaries.
This drastic shift has brought in the use of edge apps that would permit employees to secure access to their organization’s official servers and systems.
Edge computing helps remote operations and hybrid teams by reducing the amount of data volume commuting via networks, providing computing density and adaptability, limiting data redundancy, and helping users comply with compliance and regulatory guidelines.
Faster response time
Businesses can enjoy lower latency by deploying computational processes near edge devices. For instance, employees typically experience delays when corresponding with their colleagues on another floor due to a server connected in any part of the world.
While an edge computing application would route data transfer across the office premises, lower the delays, and considerably save bandwidth at the same time.
You can quickly scale this example of in-office communication to the fact that around 50% of data created by businesses worldwide gets created outside the cloud. Putting it simply, edge computing allows instant transmission of data.
Robust data security
According to Statista, by 2025, global data production is expected to exceed 180 zettabytes. However, the data security concerns will equally increase proportionately.
And with businesses producing and relying on data more than ever, edge computing is a solid prospect to process large amounts of data sets more efficiently and securely when done near the data source.
When businesses take the cloud as their sole savior for data storage in a single centralized location, it opens up risks for hacking and phishing activities.
On the other hand, an edge-computing architecture puts an extra layer of security as it doesn’t depend on a single point of storage or application. In fact, it is distributed to different devices.
In case of a hack or phishing attempt, a single compromised component of the network can be disconnected from the rest of the network, preventing a complete shutdown.
Convenient IoT adoption
Global IoT spending is expected to surpass $410 billion by 2025. For businesses, especially in the manufacturing sector, who rely on connected technology, the internet of things is at the thickest of things in the global industry today.
Such organizations are on the constant hunt to up their computational potential and probe into IoT through a more dedicated data center.
The adoption of edge computing makes the subsequent adoption of enterprise IoT quite cheap and puts little stress on the network’s bandwidth.
Businesses with computational prowess can leverage the IoT market without adding any major infrastructure expenses.
Lower IT costs
The global IT spending on devices, enterprise software, and communication services rose from $4.21 trillion to $4.43 trillion in 2022. While a considerable share of the global spending accounts for cloud solutions, obviously as the pandemic has only pushed the remote operations and hybrid working model further up.
When users keep the data physically closer to the network’s edge, the cost of sending the data to the cloud reduces. Consequently, it encourages businesses to save on IT expenses.
Besides cutting costs, edge computing also contributes to helping businesses increase their ROI through enhanced data transmission speed and improved networks needed to experiment with new models.
How is edge computing different from cloud computing?
Although edge computing and cloud computing are each other’s counterparts for data storage and distribution, there are some key differences regarding the user’s context.
Edge computing deploys resources at the point where data generates. In contrast, cloud computing deploys resources at global locations.
Edge computing operates in a decentralized fashion, while cloud computing is centralized.
Edge is made on a stable architecture, and cloud resources are made on loose-coupled components.
Edge-based resources respond instantaneously, and cloud resources have a higher response time.
Edge computing requires lower bandwidth, while the cloud counterpart consumes a higher bandwidth.
Although, the above difference makes edge computing a clear winner in all aspects for any business. But there’s a catch!
Suppose your business resides at multiple physical locations, and you need a lower latency network to promptly cater to your customers who are away from your on-prem location. In that case, edge computing is the right choice for you.
Top edge computing use cases
Although there are numerous examples of edge computing use cases, I’ll talk about a few that I find the most interesting.
Autonomous flocking of truck convoys is the easiest example we can come for autonomous vehicles. With the entire fleet traveling close while saving fuel expenses and limiting congestion, edge computing has the power to eliminate the needs of all the drivers except the one in the front vehicle.
The idea being the trucks will be able to communicate with the others via low latency.
Remote monitoring of oil and gas industry assets
Oil and gas accidents have proved catastrophic throughout the industry’s history. This requires extreme vigilance when monitoring the assets.
Although oil and gas assets are placed at remote locations, the edge computing technology facilitates real-time analytics with processing closer to the asset, indicating less dependency on high-quality connectivity to a centralized cloud.
Edge computing is on course to elevate the adoption of smart grids, enabling enterprises to handle their energy consumption better.
Modern factories, plants, and office buildings use edge platform-connected sensors and IoT devices to observe energy usage and examine their consumption in real-time.
The data from real-time analytics will aid energy management companies in creating suitable, efficient workarounds. For example, watching where high energy consumption machinery runs during off-peak hours for electricity demand.
Cloud gaming, seemingly the next-big-thing in the gaming business like Google Stadia, PlayStation Now, etc., dramatically leans on latency.
Moreover, cloud gaming companies are on the quest to build edge servers as close to gamers as possible to reduce latency and provide a fully immersive, glitch-less experience.
This concludes our discussion on understanding edge computing and how it matters for enterprises worldwide.
Now that you understand the benefits of edge computing and its applications in different industries and use cases, it is evident that it’s a great value proposition for businesses that want to acquire competitive advantages and lead their spaces from the front line.
Featured Image Credit: Provided by the Author; Thank you!